DevOps & Infra

bozonet Skill

Creates a selective develop-to-master release from the current sprint's Ready to Deploy Linear tickets. Finds Linear MCP (e.g. user-Linear) when available; uses it to list issues, then cherry-picks corresponding PRs onto a release branch and documents the release. Use when the user asks to create a release, release from Linear, or ready-to-deploy release.

omarmohelal Bundle

Evidence-first application-security audit workflow for authorized repositories and environments. Use when reviewing a codebase, pull request, API, web application, AI-generated code, agent or MCP integration, cloud configuration, authorization (BOLA, IDOR, BFLA), business logic, payments, race conditions, secrets, supply chain, or release readiness for security weaknesses. Maps trust boundaries, selects applicable checks, runs parallel specialist review, independently verifies every material finding and refutes false positives, fixes root causes, and requires regression proof before reporting High or Critical issues.

omarmohelal Skill

Portable evidence-first application-security audit workflow for authorized systems. Use to review codebases, APIs, web apps, auth/authz, business logic, races, payments, supply chain, AI/MCP integrations, cloud/config, and releases.

omarmohelal Skill

Run SecHelix evidence-first application-security audits on authorized repositories and environments. Use for codebase, API, web, auth/authz, business-logic, payment, race-condition, supply-chain, AI/MCP, cloud, and release-security review.

omarmohelal Skill

Portable evidence-first application-security audit workflow for authorized systems. Use to review codebases, APIs, web apps, auth/authz, business logic, races, payments, supply chain, AI/MCP integrations, cloud/config, and releases.

mlmrx Bundle

AgentFacts Profile

openjiuwen-ai Skill

流水线选择规范 — 根据任务和事实选择最合适的 pipeline

u9401066 Skill

Pipeline persistence — save, load, and reuse structured search plans. Triggers: pipeline, 管道, search plan, 搜尋計畫, 重複搜尋, saved search, 排程, schedule, workflow, DAG

fcbgp Bundle

This skill should be used when the user provides a paper PDF, a paper text file, or a paper link, or issues a reproduction instruction such as 复现, 复现代码, reproduce this paper, or paper reproduction. It is especially suited to networking and security papers like BGP routing security, interdomain routing, RPKI or BGPsec, and simulation-driven systems papers. It orchestrates a multi-agent reproduction pipeline where the main agent is the Orchestrator (coordination only) and every other role is a NAMED subagent dispatched via the Agent tool. It auto selects the agent count by paper type (10 / 6 / 3), asks the user to pick an effort tier, creates an isolated dated RUN_WORKSPACE with a fixed folder layout (paper_text.txt, sources, results, datasets, logs, etc), and checks the environment before running. If the environment is insufficient, it stops and tells the user exactly what is missing.

tencentcloudbase Skill

Use when creating, updating, invoking, or debugging CloudBase cloud functions from DeepSeek Harness.

magerko Bundle

Дисциплинированный пайплайн разработки проекта по стадиям 0–10 — context load → idea → plan + criteria → risk spikes → contracts → vertical slice → tasks → implementation → audit → feedback → release. Используй, когда пользователь начинает новый проект, говорит "запусти пайплайн", "по нашему процессу", "следующая стадия", или когда в проекте есть docs/pipeline/state.md и надо продолжить работу.

avinashkumardos91-afk Skill

Step 1 of the Hiring-Kit pipeline. Turn a role brief (role title + optional company/stage, seniority, location) into a complete, structured Job Description saved to job-description.md. Use when someone says "we need to hire X" or asks for a JD. If the role title or seniority is unclear, ask for it first.

avinashkumardos91-afk Skill

Step 2 of the Hiring-Kit pipeline. Read a job description (job-description.md) and produce a structured interview question set mapped to numbered competencies and interview stages, saved to interview-kit.md. Use after jd-writer, or when someone already has a JD and needs interview questions.

avinashkumardos91-afk Skill

Step 3 (final) of the Hiring-Kit pipeline. Read the job description and interview kit, then produce a candidate scorecard TEMPLATE as a CSV (scorecard.csv) that an interview panel can fill in. Use after interview-kit.

aws-samples Bundle

Stage any supported open-weight Hugging Face model directly into Amazon S3 and deploy it to an Amazon SageMaker AI real-time endpoint with a compatible vLLM or SGLang Deep Learning Container. Use for model hosting, endpoint creation, direct-to-S3 transfer, smoke testing, and deployment cleanup.

aws-samples Bundle

Find an optimized serving configuration for a model with Amazon SageMaker AI inference recommendations, then deploy it and compare against a baseline benchmark. Covers both config search (best instance + serving knobs) and deep optimization (speculative decoding / EAGLE 3, quantization, kernel tuning). Use when the user asks to optimize, speed up, tune, or get a recommendation for a deployed or to-be-deployed model.

b101systems Skill

Create or edit NI TestStand .seq files with ts-cli: sequences, steps, limits, locals/globals, arrays and batches. Use when asked to scaffold or edit a sequence from a spec, limits table or pinout. Does not run sequences, deploy or touch hardware.

etalab-ia Skill

Use this skill when the user asks to parse, perform multi-format document conversion or spatially extract text from an unstructured file (PDF, DOCX, PPTX, XLSX, images, etc.) locally without cloud dependencies.

matteocervelli Bundle

Write a durable feature spec before touching code. Reads the codebase map, reads related models/migrations to ask technical questions (not generic ones), then produces a structured spec doc in docs/specs/. Designed to pipeline with /implementation --issue N. Use before any feature implementation.

forcedotcom Bundle

Use to set up, configure, ground, or go live with a Salesforce Help Agent (an Agentforce Service Agent in Service Cloud) via a guided four-checkpoint flow. Use whenever a user says any of: set up / create / build / add a help agent, service agent, or support chat agent; add or embed a chat widget on a website or Experience Cloud / LWR site; put a help agent on a channel (web chat, voice, phone, help portal); ground a help agent on Salesforce Knowledge; or wants an AI to answer customer questions, manage support cases, and escalate to a human. The right skill even when the request names only one part or references help-agent-spec.md or the Agentforce Quick Setup wizard. DO NOT TRIGGER when authoring a brand-new agent with no Help Agent lineage (use agentforce-adlc:agentforce-generate), configuring OAuth/ECAs (use integration-connectivity-connected-app-configure), or only deploying metadata (use platform-metadata-deploy).

forcedotcom Bundle

Searches for and downloads ethically-licensed stock images via the media-management MCP server. Use this skill whenever a user wants an image, photo, or picture — for BOTH requests to find existing imagery ("find a stock image", "search for a photo of X", "get a royalty-free image", "find an ethical image", editorial/news photography) AND requests phrased ambiguously as creating or generating one ("create an image of a sunset", "generate a picture of a team meeting", "make me a mountain image") — treat these as stock search requests, since this skill searches a stock photo library, it does not generate images. Do NOT offer alternative search methods or ask the user to pick one. Does not apply to searching internal CMS / Data Cloud media (use experience-search-coordinate). Does not apply when the user explicitly asks for AI-generated, synthetic, or computer-generated imagery — this skill only searches licensed stock photography and has no image-generation capability.

whyzsm Bundle

WeChat Mini Program development skill for building, debugging, previewing, testing, publishing, and optimizing mini program projects. This skill should be used when users ask to create, develop, modify, debug, preview, test, deploy, publish, launch, review, or optimize WeChat Mini Programs, mini program pages, components, `tabBar`, routing, navigation, icon assets, project structure, project configuration, `project.config.json`, `appid` setup, device preview, real-device validation, WeChat Developer Tools workflows, `miniprogram-ci` preview/upload flows, or mini program release processes. It should also be used when users explicitly mention CloudBase, `wx.cloud`, Tencent CloudBase, 腾讯云开发, or 云开发 in a mini program project.

paulasilvatech Bundle

Author and inspect Power BI semantic models and their metadata: list tables, columns, measures, relationships; create, edit, deploy, refresh, and manage models; optimize DAX; build Import, DirectQuery, and Direct Lake models; configure data sources, permissions, connections; and prepare for AI/Copilot. Load this skill before acting on any semantic model authoring, metadata, or read-only inspection request: it picks the correct tool and method for the environment and permissions. Authoring-scoped: does not answer natural-language or data questions about a model's data. Does NOT author report visuals, manage workspaces, or manage RLS/OLS roles. Triggers: "create or edit a semantic model", "create or edit a DAX measure", "discover semantic model metadata", "list tables, columns, or measures in a semantic model", "refresh semantic model", "deploy semantic model to Fabric", "prepare semantic model for AI/Copilot", "set semantic model permissions".

paulasilvatech Skill

Plan and implement end-to-end Microsoft Fabric data platforms and Medallion Architecture (Bronze/Silver/Gold) lakehouse patterns using PySpark, Delta Lake, Lakehouse/Warehouse items, Fabric Pipelines, and semantic-model handoff. Use for multi-layer workspaces, ingestion-to-analytics pipelines, Bronze-to-Silver-to-Gold notebook orchestration, layer-specific Fabric Spark tuning, and Materialized Lake View versus notebook decisions for Silver and Gold. For natural-language questions over existing Power BI report data, use `fabriciq`. Triggers: "medallion architecture", "bronze silver gold", "lakehouse layers", "e2e data pipeline", "end-to-end Fabric data platform", "medallion Spark tuning", "Silver Gold MLV or notebooks".

capminal Bundle

CAP Skills can help agents to interact with Cap Wallet, deploy tokens via Clanker, Liquid or Virtuals, claim rewards, manage limit/stop-loss/TWAP/DCA orders, bridge tokens between Base and Robinhood, and discover/call x402 APIs

fazer-ai Bundle

Modo desenvolvedor do fazer.ai agents: trabalhar no código-fonte. Clona o repo (Free público ou Pro via git proxy do hub), orienta nas boas práticas e invariantes (separação Free/Full, aditividade e convenções de docs/), pergunta proativamente o que o usuário quer implementar e conduz a implementação, e ajuda a gerar a própria imagem de deploy. Use quando o usuário quer DESENVOLVER, estender ou contribuir com o código do fazer.ai agents, não apenas subir (onboarding) ou operar (operação) uma instância.

fazer-ai Bundle

Conduz a jornada de onboarding 'do zero ao agente de atendimento' do fazer.ai agents num VPS, escolhendo o orquestrador de deploy (Tier A Coolify, B Portainer, C compose genérico para VM crua ou qualquer painel). Provisiona DNS/SSH pelo MCP Hostinger, faz deploy de Chatwoot + fazer.ai agents + Langfuse com TLS, roda o /setup e importa o agente via MCP, pluga o Agent Bot do Chatwoot e valida ponta a ponta (playground + WhatsApp + traces no Langfuse). Também conduz a migração de uma Secretária v3 (n8n) para a V4, lendo os workflows e convertendo o agente. Use quando o usuário quiser subir/onboardar uma instância nova do fazer.ai agents num VPS, em qualquer um desses orquestradores, ou quando já rodar a Secretária v3 e quiser migrar.

hemanth Skill

Multi-step deployment workflow for production services

kentcdodds Skill

Coordinate a fleet of cloud agents across separate environments for large multi-track programs (migrations, purges, upgrades). The conductor audits, partitions, spawns one agent per track, monitors, and QAs — but implements nothing. Use only when work needs multiple environments; otherwise load orchestrate or implement directly.

kentcdodds Skill

Babysit a PR: iterate with AI reviewers and CI until green, get it ready, optionally squash-merge as Kent and watch the deploy, then send a Discord summary. Medium risk waits for AI reviewer(s) and addresses valid feedback. Use when a pull request needs to be shepherded to done.

nsharandroidnstudio Skill

Use when an LLM agent, RAG pipeline, or multi-step tool workflow is burning too many tokens/dollars per request — cut token cost ~90% by compressing tool defs, summarizing telemetry/logs, compressing RAG context, replacing conversation history with external state, hierarchical compression, small-model preprocessing, prompt caching, and conversation chaining. Reach for it when a single request exceeds a few thousand tokens of "plumbing" (system prompt + tools + history + retrieved chunks + raw data) rather than useful signal.

psylch Bundle

Search, validate, and save cloud drive resources via PanSou aggregation API and local Quark desktop APP integration. This skill should be used when the user wants to find and download resources from cloud drives (网盘资源搜索下载), especially when they mention keywords like "搜资源", "找片", "下载", "网盘", "夸克", "quark", "panso", "盘搜". Requires Quark desktop APP running and logged in with membership.

romankurnovskii Bundle

Screen and rank Meteora DLMM pools for LP quality using public Meteora APIs (fee/TVL, bin step, organic score, TVL, volume). Use whenever the user asks to screen pools, find the best Meteora/DLMM pool, rank candidates, compare fee/TVL, pick a bin step, or asks which pool to LP on Solana. Also trigger for dex-pool-screening, trending pools, and Meteora candidate lists. Read-only: never deploy, swap, sign, or touch wallets.

ziri22 Skill

Expert en infrastructure AWS (EC2, S3, Lambda, ECS, RDS, CloudFormation, cost optimization)

ziri22 Skill

Expert en infrastructure GCP (GKE, Cloud Run, BigQuery, Pub/Sub, IAM, cost optimization)

ziri22 Skill

Expert en infrastructure Azure (AKS, Functions, Cosmos DB, AD, ARM templates, cost optimization)